EP2280376A2 - Bildverarbeitungseinrichtung und Bildverarbeitungsverfahren - Google Patents

Bildverarbeitungseinrichtung und Bildverarbeitungsverfahren Download PDF

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Publication number
EP2280376A2
EP2280376A2 EP20100189322 EP10189322A EP2280376A2 EP 2280376 A2 EP2280376 A2 EP 2280376A2 EP 20100189322 EP20100189322 EP 20100189322 EP 10189322 A EP10189322 A EP 10189322A EP 2280376 A2 EP2280376 A2 EP 2280376A2
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EP
European Patent Office
Prior art keywords
unit
image
value
pixel
contrast improvement
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Application number
EP20100189322
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English (en)
French (fr)
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EP2280376A3 (de
EP2280376B1 (de
Inventor
Tatsumi Watanabe
Akio Kojima
Yasuhiro Kuwahara
Yusuke Monobe
Toshiharu Kurosawa
Hirotaka Oku
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Panasonic Intellectual Property Corp of America
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Panasonic Corp
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Publication date
Priority claimed from JP2002033658A external-priority patent/JP3870796B2/ja
Priority claimed from JP2002198394A external-priority patent/JP4021261B2/ja
Priority claimed from JP2002239134A external-priority patent/JP4013699B2/ja
Application filed by Panasonic Corp filed Critical Panasonic Corp
Publication of EP2280376A2 publication Critical patent/EP2280376A2/de
Publication of EP2280376A3 publication Critical patent/EP2280376A3/de
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Publication of EP2280376B1 publication Critical patent/EP2280376B1/de
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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control
    • H04N1/6027—Correction or control of colour gradation or colour contrast
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/142—Edging; Contouring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/20—Circuitry for controlling amplitude response

Definitions

  • the correction data calculation unit may comprise a surrounding average unit, edge data detection unit, correction coefficient calculation unit, comparison amount correction unit and improvement amount calculation unit.
  • the surrounding average unit finds the weighted average of the density of the comparison pixels.
  • the edge data detection unit detects the edge data of the object pixel.
  • the correction coefficient calculation unit calculates the correction coefficient for the edge data obtained by the edge data detection unit.
  • the comparison amount correction unit corrects the average density obtained by the surrounding average unit using the correction coefficient.
  • the improvement amount calculation unit finds the amount to improve the contrast from the corrected average density and the density of the object pixel.
  • the selection standard value judgment unit 200 calculates the brightness y(i, j) at the object pixel Pij in the input image (S11). Also, it compares the brightness y(i, j) at the object pixel Pij with the preset threshold values Th_h and Th_1 (S12).
  • a process is performed to replace the value VWPij (WRr(i. j), WRg(i, j), WRb(i, j)) at the pixel Pij in the output image vo with the value VPij (r(i, j), g(i, j), b(i, j)) at the object pixel Pij in the input image vi (S18).
  • This process is a process that takes into consideration that when the change in an area that is larger than the rectangular area corresponding to the surround view and having size c is very small, it is easy for the contrast improvement amount for the pixel Pij to concentrate near 1.0.
  • This process removes large uniform highlighted areas (white) or black areas in the input image as being outside the process object. As a result, it is possible to suppress large changes in the brightness level that can occur easily in areas such as mentioned above in the contrast improved image.
  • the comparison range change unit 105 changes the currently set area to the next candidate. After changing the size of the area, the correction data calculation unit 100 calculates the weighted average value for the area with that changed size.
  • the average brightness calculation unit 1020 calculates the brightness y(i, j) of each pixel Pij in the input image vi, and finds the average value ave_y (S61).
  • the object signal estimation unit 1082 finds the conversion value for the contrast improvement amount for the object signal obtained by the extraction unit 101 according to the conversion method selected by the conversion method selection unit 1081.
  • the construction of part of the pixel value conversion unit 102 differs from that in the image processing apparatus of the fifth embodiment.
  • that pixel value conversion unit 102 comprises a standard intensity calculation unit 1023 and conversion curve estimation unit 1024 instead of the average brightness calculation unit 1020 and conversion method selection unit 1021.
  • the pixel value estimation unit 245 uses that conversion curve to find the conversion value in the range of 0.0 to 1.0, and finds the value of the pixel on the enhanced image v (S79).
  • the value of the pixel in the enhanced image v is kept within the maximum value Vmax (rx, gx, bx) and the minimum value Vmin (rn, gn, bn) of each of the components of the pixel Pij in the input image vi.
  • image processing of this eighth embodiment can also be realized by a software process that uses a CPU and DSP.
  • the ratio of the value VPij of the object pixel Pij with the overall weighted average value VAPij was used as the contrast improvement amount, however, it is also possible to used the ratio of the ratio of the value VPij with the maximum weighted average value.
  • the maximum weighted average value is found by comparing the weighted average values of each size ck for each component. The time for the comparison process increases, however, there are advantages in that the fluctuation of the pixel values in the enhanced image v becomes gradual, and sudden increases in values near the edges are prevented.
  • the density correction unit 15 calculates the average luminance ave_y of the input image vi and the average luminance ave_Ry of the enhance image v from these values.
  • the comparison pixel setting unit 115 of the correction data calculation unit 100 initializes the position of the object pixel Pij and then selects comparison pixels.
  • the correction coefficient can be given according to Equation 20 using the average value ave_ed of the edge data ed(i, j) for each pixel of the pre-processed input image.
  • Rr i ⁇ j r i ⁇ j / dAr x Ar i ⁇ j
  • Rg i ⁇ j g i ⁇ j / dAg x Ag i ⁇ j
  • Rb i ⁇ j b i ⁇ j / dAb x Ab i ⁇ j
  • the enhancement components VBRPij can be expressed by the following equations 22.
  • Ady i ⁇ j ⁇ u ⁇ v y i ⁇ j - ys u ⁇ v / len u ⁇ v / C 2
  • BRr i ⁇ j Rr i ⁇ j - 1.0 ⁇ Cval ⁇ Ady i ⁇ j
  • BRg i ⁇ j Rg i ⁇ j - 1.0 ⁇ Cval ⁇ Ady i ⁇ j
  • BRb i ⁇ j Rb i ⁇ j - 1.0 ⁇ Cval ⁇ Ady i ⁇ j
  • len u ⁇ v sqrt ⁇ u - i ⁇ u - i + v - j ⁇ v - j
  • the brightness adjustment unit 162 adjusts the brightness wy(i, j) of the combined image based on that brightness ratio. By just multiplying the color differences cr(i, j) and cb(i, j) of the input image by the brightness ratio, there is a possibility that the color differences wcr(i, j) and wcb(i, j) of the combined image may be saturated. Therefore, the brightness adjustment unit 162 determines whether or not the color difference wcr(i, j) or wcb(i, j) of the combined image obtained by multiplication became saturated.
  • the color difference wcr(i, j) In the case where the color difference wcr(i, j) becomes saturated, it corrects the brightness ratio Ratio(i, j) by the ratio with that saturated color difference wcr(i, j)/cr(i, j). The improved brightness dwy(i, j) after combination is calculated based on that value.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
EP10189322.0A 2002-02-12 2003-02-12 Bildverarbeitungseinrichtung und Bildverarbeitungsverfahren Expired - Lifetime EP2280376B1 (de)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
JP2002033658A JP3870796B2 (ja) 2002-02-12 2002-02-12 画像処理装置及び画像処理方法
JP2002198394A JP4021261B2 (ja) 2002-07-08 2002-07-08 画像処理装置
JP2002239134A JP4013699B2 (ja) 2002-08-20 2002-08-20 画像処理装置および画像処理方法
EP03703336.2A EP1475745B1 (de) 2002-02-12 2003-02-12 Bildverarbeitungseinrichtung und bildverarbeitungsverfahren

Related Parent Applications (3)

Application Number Title Priority Date Filing Date
EP03703336.2 Division 2003-02-12
EP03703336.2A Division-Into EP1475745B1 (de) 2002-02-12 2003-02-12 Bildverarbeitungseinrichtung und bildverarbeitungsverfahren
EP03703336.2A Division EP1475745B1 (de) 2002-02-12 2003-02-12 Bildverarbeitungseinrichtung und bildverarbeitungsverfahren

Publications (3)

Publication Number Publication Date
EP2280376A2 true EP2280376A2 (de) 2011-02-02
EP2280376A3 EP2280376A3 (de) 2011-03-23
EP2280376B1 EP2280376B1 (de) 2015-10-28

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EP10189322.0A Expired - Lifetime EP2280376B1 (de) 2002-02-12 2003-02-12 Bildverarbeitungseinrichtung und Bildverarbeitungsverfahren

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US (4) US7386185B2 (de)
EP (2) EP1475745B1 (de)
CN (1) CN1303570C (de)
WO (1) WO2003069557A1 (de)

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EP1475745B1 (de) 2014-07-09
EP1475745A1 (de) 2004-11-10
US8098953B2 (en) 2012-01-17
EP2280376B1 (de) 2015-10-28
US8494303B2 (en) 2013-07-23
WO2003069557A1 (fr) 2003-08-21
CN1303570C (zh) 2007-03-07
US7773826B2 (en) 2010-08-10
US7386185B2 (en) 2008-06-10
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